作者： Jakub Rusinowski · 最后更新： 2026年7月21日
Yes, comfortably — you'll have ~36.5 GB of headroom running GLM-5.1 72B at Q4_K_M (43.47 GB, ~25 tok/s (est.)) with room for up to 64K context.
or compare on Vast.ai from $0.77/hr (typical low · varies)
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| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
| Quant | VRAM needed | Fits 80 GB? | Max context |
|---|---|---|---|
| F16 | 146 GB | ✗ No | — |
| Q8_0 | 78.5 GB | ✓ Yes | 8K |
| Q6_K | 61 GB | ✓ Yes | 64K |
| Q5_K_M | 53 GB | ✓ Yes | 64K |
| Q4_K_M | 45.5 GB | ✓ Yes | 64K |
| Q3_K_M | 32.7 GB | ✓ Yes | 64K |
| Q2_K | 25.7 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-5.1 72B | Q4_K_M · 43.47 GB · ~25 tok/s (est.) |
| GLM-5 32B | Q4_K_M · 19.32 GB · ~52 tok/s (est.) |
| GLM-5 9B | Q4_K_M · 5.43375 GB · ~138 tok/s (est.) |
At 2 hrs/day, buying (~$15,000) beats renting at $0.77/hr after about 27.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~36.5 GB of headroom running GLM-5.1 72B at Q4_K_M (43.47 GB, ~25 tok/s (est.)) with room for up to 64K context.
GLM-5.1 72B at Q4_K_M quantization (43.47 GB), estimated ~25 tokens/sec, up to 64K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| GLM-5 744B | 449.2 GB | Does not fit | — |
| GLM-5.1 72B | 43.5 GB | Runs | ~25 tok/s |
| GLM-5 32B | 19.3 GB | Runs | ~52 tok/s |
| GLM-5 9B | 5.4 GB | Runs | ~138 tok/s |
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